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Emna Ayari

Emna Ayari
Postdoctoral researcher in remote sensing at the Department of Crop Production Ecology

Research

hydrology, vegetation monitoring, remote sensing (optical and radar data), machine learning 

 

Selected publications

  • Ayari, E., Kassouk, Z., Lili-Chabaane, Z., Ouaadi, N., Baghdadi, N., & Zribi, M. (2024). NDVI estimation using Sentinel-1 data over wheat fields in a semiarid Mediterranean region. GIScience & Remote Sensing, 61(1). https://doi.org/10.1080/15481603.2024.2357878
  • Dassas, K., Fanise, P., Le Page, M., Ayari, E., Baillion, P., Sige, M., Boone, A., and Zribi, M. Polarimetric instrument Global Navigation Satellite System -Reflectometry airborne data, Data in Brief 2024, 52,109850.
  • Ayari, E., Zribi, M., Lili-Chabaane, Z., Kassouk, Z., Jarlan, L., Rodriguez-Fernandez, N., & Baghdadi, N. (2023). Sensitivity of surface soil moisture retrieval to satellite-derived vegetation descriptors over wheat fields in the Kairouan plain. European Journal of Remote Sensing, 56(1). https://doi.org/10.1080/22797254.2023.2260555
  • Zribi, M., Dassas, K., Dehaye, V., Fanise, P., Ayari, E., & Le
    Page, M., Analysis of Polarimetric GNSS-R Airborne Data as a Function of Land Use, IEEE Geoscience and Remote Sensing Letters 2023, , vol. 20, pp.1-5, 2023, Art no. 2502105.
  • Rolle M, Tamea S, Claps P, Ayari E, Baghdadi N, Zribi M. Analysis of Maize Sowing Periods and Cycle Phases Using Sentinel 1&2 Data Synergy. Remote Sensing. 2022; 14(15):3712. https://doi.org/10.3390/rs14153712
  • Nativel, S., Ayari, E., Rodriguez-Fernandez, N., Baghdadi, N., Madelon, R., Albergel, C., Zribi, M. Hybrid Methodology Using Sentinel-1/Sentinel-2 for Soil Moisture Estimation. Remote Sensing. 2022; 14(10):2434. https://doi.org/10.3390/rs14102434
  • Ayari, E., Kassouk, Z., Lili-Chabaane, Z., Baghdadi, N., Zribi, M. Investigation of Multi-Frequency SAR Data to Retrieve the Soil Moisture within a Drip Irrigation Context Using Modified Water Cloud Model. Sensors. 2022; 22(2):580. https://doi.org/10.3390/s22020580
  • Ayari, E., Kassouk, Z., Lili-Chabaane, Z., Baghdadi, N., Bousbih, S., Zribi, M. Cereal Crops Soil Parameters Retrieval Using L-Band ALOS-2 and C-Band Sentinel-1 Sensors. Remote Sensing. 2021; 13(7):1393. https://doi.org/10.3390/rs13071393

Contact

Non employee at the Department of Crop Production Ecology; Crop production science
Telephone: +46733508716
Postal address:
Inst för Växtproduktionsekologi
90183 Umeå
Visiting address: Skogsmarksgränd, vån 5, Umeå